Papers by Asahi Hentona

2 papers
Proactive User Information Acquisition via Chats on User-Favored Topics (2025.findings-emnlp)

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Challenge: PIA tasks require a system to acquire user information without making the user feel abrupt while engaging in a chat on a predefined topic.
Approach: They propose a task to acquire user's answers to predefined questions without making the user feel abrupt while engaging in a chat on a predefined topic.
Outcome: The proposed system outperforms LLMs prompted with task instructions in a dataset of 650 PIA chats and shows that it is reasonably accurate.
User Willingness-aware Sales Talk Dataset (2025.coling-main)

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Challenge: Despite the importance of user willingness, to the best of our knowledge, no previous study has addressed the development of automated sales talk dialogue systems that explicitly consider user willingness.
Approach: They developed a user willingness–aware sales talk collection by leveraging the ecological validity concept to elicit natural user willingness.
Outcome: The proposed system elicited user willingness at the utterance level from multiple perspectives and was able to improve the user's intent to purchase.

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